Research Article
Bandwidth and Power Allocation for Wireless Cognitive Network with Eavesdropper
@INPROCEEDINGS{10.1007/978-3-319-52730-7_22, author={Kecai Gu and Weidang Lu and Guomin Zhou and Hong Peng and Zhijiang Xu and Xin Liu}, title={Bandwidth and Power Allocation for Wireless Cognitive Network with Eavesdropper}, proceedings={Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers}, proceedings_a={MLICOM}, year={2017}, month={2}, keywords={Cognitive radio Physical layer security Artificial noise Achievable secrecy rate Power allocation}, doi={10.1007/978-3-319-52730-7_22} }- Kecai Gu
Weidang Lu
Guomin Zhou
Hong Peng
Zhijiang Xu
Xin Liu
Year: 2017
Bandwidth and Power Allocation for Wireless Cognitive Network with Eavesdropper
MLICOM
Springer
DOI: 10.1007/978-3-319-52730-7_22
Abstract
In this paper, we consider secure communications for a five-node cognitive wireless network system including one primary user (PU) pair and one secondary user (SU) pair in presence of one eavesdropper. The secrecy transmission process departs into two equal time phases. To ensure transmission process safety, the primary source and receiver are allowed to deliver artificial noise to interfere the eavesdropper. To obtain higher spectrum efficiency, we propose an anti-interference spectrum access strategy with cooperative trusted DF relaying over flat fading channel, in which secondary user forward primary information and deliver its own information with different part of licensed spectrum. We study how to optimize the bandwidth and power allocation ratio to maximize the secondary user rate while guaranteeing the primary system to achieve its target secrecy rate. The expression of the optimal bandwidth allocation ratio is derived. Simulation results demonstrate that proposed strategy can achieve win-win result.